2014/03/17 by David Budden, Peter Wang, Budden, David +5 · 1 citation
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Visualization and Analytics #FOS: Computer and information sciences #Innovation Diffusion and Forecasting #Multiagent Systems (cs.MA) #Robotics (cs.RO) #Spreadsheets and End-User Computing #cs.AI #cs.MA #cs.RO
paper · pdf · doi:10.48550/arxiv.1403.4023
12 pages, 2 figures, presented at RoboCup 2014 symposium, Brazil
openalex publication_date 2014/03/17 · arxiv created 2014/06/26 · arxiv updated 2014/06/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The selection of an appropriate competition format is critical for both the success and credibility of any competition, both real and simulated. In this paper, the automated parallelism offered by the RoboCupSoccer 2D simulation league is leveraged to conduct a 28,000 game round-robin between the top 8 teams from RoboCup 2012 and 2013. A proposed new competition format is found to reduce variation from the resultant statistically significant team performance rankings by 75% and 67%, when compared to the actual competition results from RoboCup 2012 and 2013 respectively. These results are statistically validated by generating 10,000 random tournaments for each of the three considered formats and comparing the respective distributions of ranking discrepancy.